Large Language Model
Token Merging for Training-Free Semantic Binding in Text-to-Image Synthesis
For example, hats and sunglasses are placed on incorrect objects. We introduce a novel method T oMeto address these challenges.
Benchmarking Complex Instruction-Following with Multiple Constraints Composition
LLMs has become a critical research problem.
Linguistic Collapse: Neural Collapse in (Large) Language Models
Convergence to a simplex ETF: Class means tend towards equinorm and equiangular vectors when centred about the global average.
ActionAtlas: A VideoQA Benchmark for Domain-specialized Action Recognition Mohammadreza Salehi Jae Sung Park
Each video in the dataset is paired with a question and four or five choices.
processing enables human-like zero-shot generalization to random dot stimuli
Motion is a powerful cue that humans use to detect and segment visual objects.
Unchosen Experts Can Contribute Too: Unleashing MoE Models ' Power by Self-Contrast
Mixture-of-Experts (MoE) has emerged as a prominent architecture for scaling model size while maintaining computational efficiency.